Implement script (e.g. make_plots.py) that takes a dataframe (output from the looper) as input and makes various plots.
Ideal configurable options:
- Input dataframe
- Type of plot: data/MC plot OR shape comparison
- Linear vs. log axis (hopefully the script also calculates reasonable axis ranges)
- Include/don't include ratio pad
- List of variables to make plots for. For this, a
json file is my first idea at making this easily configurable. Can contain a list of variables along with relevant data for each (binning, axis limits, additional text to print on plot, etc)
Configurable options for data/MC plots:
- List of samples to consider as backgrounds (plot these as stacked histograms)
- List of samples to consider as signals (plot these as solid lines)
- Normalization of background: scale by lumi or scale total background to data
I know there are many different plotting packages already out there, and I am relatively ignorant about them, so please comment if you have one in mind that is the best/most user-friendly/etc. These would probably be a good starting point for the script and might save a majority of the work.
Implement script (e.g.
make_plots.py) that takes a dataframe (output from the looper) as input and makes various plots.Ideal configurable options:
jsonfile is my first idea at making this easily configurable. Can contain a list of variables along with relevant data for each (binning, axis limits, additional text to print on plot, etc)Configurable options for data/MC plots:
I know there are many different plotting packages already out there, and I am relatively ignorant about them, so please comment if you have one in mind that is the best/most user-friendly/etc. These would probably be a good starting point for the script and might save a majority of the work.